windfarmGA: Genetic Algorithm for Wind Farm Layout Optimization

The genetic algorithm is designed to optimize wind farms of any shape. It requires a predefined amount of turbines, a unified rotor radius and an average wind speed value for each incoming wind direction. A terrain effect model can be included that downloads an 'SRTM' elevation model and loads a Corine Land Cover raster to approximate surface roughness.

Version: 2.2.3
Depends: R (≥ 3.2.3)
Imports: rgdal, Rcpp, raster, sf, sp, rworldmap, gstat, ggplot2, RColorBrewer, calibrate, grDevices, graphics, leaflet, magrittr, foreach, parallel, doParallel, methods, spatstat, stats, utils
LinkingTo: Rcpp
Suggests: testthat, pkgdown, dplyr, rgeos
Published: 2019-12-16
Author: Sebastian Gatscha [aut, cre]
Maintainer: Sebastian Gatscha <sebastian_gatscha at>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: NEWS
CRAN checks: windfarmGA results


Reference manual: windfarmGA.pdf
Package source: windfarmGA_2.2.3.tar.gz
macOS binaries: r-release: windfarmGA_2.2.3.tgz, r-oldrel: windfarmGA_2.2.3.tgz
Old sources: windfarmGA archive


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